
"""simple docstring"""



import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
 from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


a       :						List[Any]       		=		get_tests_dir('''fixtures/test_sentencepiece.model''')

a       :						Any       		=		{'''target_lang''': '''fi''', '''source_lang''': '''en'''}
a       :						Tuple       		=		'''>>zh<<'''
a       :						str       		=		'''Helsinki-NLP/'''

if is_torch_available():
 a       :						Optional[Any]       		=		'''pt'''
elif is_tf_available():
 a       :						Tuple       		=		'''tf'''
else:
 a       :						Optional[Any]       		=		'''jax'''




@require_sentencepiece
class 		a_    (			__lowerCAmelCase  ,    unittest.TestCase						):
    a   :					Optional[Any]			     =					MarianTokenizer
    a   :					Union[str, Any]			     =					False
    a   :					int			     =					True







    def   _snake_case       (      self      :							Optional[int]  )		->Dict:






        '''simple docstring'''






        super().setUp()
        _UpperCAmelCase        = ["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
        _UpperCAmelCase        = dict(zip(lowerCamelCase_  ,       range(len(lowerCamelCase_  )  )  )  )
        _UpperCAmelCase        = Path(self.tmpdirname  )
        save_json(lowerCamelCase_  ,       save_dir / VOCAB_FILES_NAMES["""vocab"""]  )
        save_json(lowerCamelCase_  ,       save_dir / VOCAB_FILES_NAMES["""tokenizer_config_file"""]  )
        if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
            copyfile(lowerCamelCase_  ,       save_dir / VOCAB_FILES_NAMES["""source_spm"""]  )
            copyfile(lowerCamelCase_  ,       save_dir / VOCAB_FILES_NAMES["""target_spm"""]  )

        _UpperCAmelCase        = MarianTokenizer.from_pretrained(self.tmpdirname  )
        tokenizer.save_pretrained(self.tmpdirname  )







    def   _snake_case       (      self      :							Optional[Any]  ,       **__UpperCamelCase      :							Tuple  )		->List[str]:






        '''simple docstring'''






        return MarianTokenizer.from_pretrained(self.tmpdirname  ,       **lowerCamelCase_  )







    def   _snake_case       (      self      :							Union[str, Any]  ,       __UpperCamelCase      :							Dict  )		->List[Any]:






        '''simple docstring'''






        return (
            "This is a test",
            "This is a test",
        )







    def   _snake_case       (      self      :							Dict  )		->int:






        '''simple docstring'''






        _UpperCAmelCase        = """</s>"""
        _UpperCAmelCase        = 0

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase_  )  ,       lowerCamelCase_  )
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase_  )  ,       lowerCamelCase_  )







    def   _snake_case       (      self      :							str  )		->List[str]:






        '''simple docstring'''






        _UpperCAmelCase        = list(self.get_tokenizer().get_vocab().keys()  )

        self.assertEqual(vocab_keys[0]  ,       """</s>"""  )
        self.assertEqual(vocab_keys[1]  ,       """<unk>"""  )
        self.assertEqual(vocab_keys[-1]  ,       """<pad>"""  )
        self.assertEqual(len(lowerCamelCase_  )  ,       9  )







    def   _snake_case       (      self      :							Optional[Any]  )		->Any:






        '''simple docstring'''






        self.assertEqual(self.get_tokenizer().vocab_size  ,       9  )







    def   _snake_case       (      self      :							int  )		->List[str]:






        '''simple docstring'''






        _UpperCAmelCase        = MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""  )
        _UpperCAmelCase        = en_de_tokenizer(["""I am a small frog"""]  ,       return_tensors=lowerCamelCase_  )
        self.assertIsInstance(lowerCamelCase_  ,       lowerCamelCase_  )
        _UpperCAmelCase        = [38, 1_21, 14, 6_97, 3_88_48, 0]
        self.assertListEqual(lowerCamelCase_  ,       batch.input_ids[0]  )

        _UpperCAmelCase        = tempfile.mkdtemp()
        en_de_tokenizer.save_pretrained(lowerCamelCase_  )
        _UpperCAmelCase        = [x.name for x in Path(lowerCamelCase_  ).glob("""*"""  )]
        self.assertIn("""source.spm"""  ,       lowerCamelCase_  )
        MarianTokenizer.from_pretrained(lowerCamelCase_  )







    def   _snake_case       (      self      :							Union[str, Any]  )		->Any:






        '''simple docstring'''






        _UpperCAmelCase        = self.get_tokenizer()

        _UpperCAmelCase        = tok(
            ["""I am a small frog""" * 10_00, """I am a small frog"""]  ,       padding=lowerCamelCase_  ,       truncation=lowerCamelCase_  ,       return_tensors=lowerCamelCase_  )
        self.assertIsInstance(lowerCamelCase_  ,       lowerCamelCase_  )
        self.assertEqual(batch.input_ids.shape  ,       (2, 5_12)  )







    def   _snake_case       (      self      :							Union[str, Any]  )		->Union[str, Any]:






        '''simple docstring'''






        _UpperCAmelCase        = self.get_tokenizer()
        _UpperCAmelCase        = tok(["""I am a tiny frog""", """I am a small frog"""]  ,       padding=lowerCamelCase_  ,       return_tensors=lowerCamelCase_  )
        self.assertIsInstance(lowerCamelCase_  ,       lowerCamelCase_  )
        self.assertEqual(batch_smaller.input_ids.shape  ,       (2, 10)  )







    @slow
    def   _snake_case       (      self      :							List[Any]  )		->List[Any]:






        '''simple docstring'''






        _UpperCAmelCase        = {"""input_ids""": [[4_34_95, 4_62, 20, 4_21_64, 13_69, 52, 4_64, 1_32, 17_03, 4_92, 13, 74_91, 3_89_99, 6, 8, 4_64, 1_32, 17_03, 4_92, 13, 46_69, 3_78_67, 13, 75_25, 27, 15_93, 9_88, 13, 3_39_72, 70_29, 6, 20, 82_51, 3_83, 2, 2_70, 58_66, 37_88, 2, 23_53, 82_51, 1_23_38, 2, 1_39_58, 3_87, 2, 36_29, 69_53, 1_88, 29_00, 2, 1_39_58, 80_11, 1_15_01, 23, 84_60, 40_73, 3_40_09, 20, 4_35, 1_14_39, 27, 8, 84_60, 40_73, 60_04, 20, 99_88, 3_75, 27, 33, 2_66, 19_45, 10_76, 13_50, 3_78_67, 32_88, 5, 5_77, 10_76, 43_74, 8, 50_82, 5, 2_64_53, 2_57, 5_56, 4_03, 2, 2_42, 1_32, 3_83, 3_16, 4_92, 8, 1_07_67, 6, 3_16, 3_04, 42_39, 3, 0], [1_48, 1_57_22, 19, 18_39, 12, 13_50, 13, 2_23_27, 50_82, 54_18, 4_75_67, 3_59_38, 59, 3_18, 1_95_52, 1_08, 21_83, 54, 1_49_76, 48_35, 32, 5_47, 11_14, 8, 3_15, 24_17, 5, 92, 1_90_88, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00], [36, 63_95, 1_25_70, 3_91_47, 1_15_97, 6, 2_66, 4, 4_54_05, 72_96, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=lowerCamelCase_  ,       model_name="""Helsinki-NLP/opus-mt-en-de"""  ,       revision="""1a8c2263da11e68e50938f97e10cd57820bd504c"""  ,       decode_kwargs={"""use_source_tokenizer""": True}  ,       )







    def   _snake_case       (      self      :							List[str]  )		->Union[str, Any]:






        '''simple docstring'''






        _UpperCAmelCase        = MarianTokenizer.from_pretrained("""hf-internal-testing/test-marian-two-vocabs"""  )

        _UpperCAmelCase        = """Tämä on testi"""
        _UpperCAmelCase        = """This is a test"""

        _UpperCAmelCase        = [76, 7, 20_47, 2]
        _UpperCAmelCase        = [69, 12, 11, 9_40, 2]

        _UpperCAmelCase        = tokenizer(lowerCamelCase_  ).input_ids
        self.assertListEqual(lowerCamelCase_  ,       lowerCamelCase_  )

        _UpperCAmelCase        = tokenizer(text_target=lowerCamelCase_  ).input_ids
        self.assertListEqual(lowerCamelCase_  ,       lowerCamelCase_  )

        _UpperCAmelCase        = tokenizer.decode(lowerCamelCase_  ,       skip_special_tokens=lowerCamelCase_  )
        self.assertEqual(lowerCamelCase_  ,       lowerCamelCase_  )
def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	List[str]:







 '''simple docstring'''
 _enforce_args(UpperCamelCase_							,					UpperCamelCase_       )
 if n == 0:
  return 0
 UpperCamelCase			  =      float("""-inf"""       )
 for i in range(1							,					n + 1       ):
  UpperCamelCase			  =      max(
      UpperCamelCase_							,					prices[i - 1] + naive_cut_rod_recursive(n - i							,					UpperCamelCase_       )       )

 return max_revue





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	Optional[Any]:







 '''simple docstring'''
 _enforce_args(UpperCamelCase_							,					UpperCamelCase_       )
 UpperCamelCase			  =      [float("""-inf"""       ) for _ in range(n + 1       )]
 return _top_down_cut_rod_recursive(UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )		->	List[Any]:







 '''simple docstring'''
 if max_rev[n] >= 0:
  return max_rev[n]
 elif n == 0:
  return 0
 else:
  UpperCamelCase			  =      float("""-inf"""       )
  for i in range(1							,					n + 1       ):
   UpperCamelCase			  =      max(
       UpperCamelCase_							,					prices[i - 1] + _top_down_cut_rod_recursive(n - i							,					UpperCamelCase_							,					UpperCamelCase_       )							,					)

  UpperCamelCase			  =      max_revenue

 return max_rev[n]





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	Union[str, Any]:







 '''simple docstring'''
 _enforce_args(UpperCamelCase_							,					UpperCamelCase_       )

 # length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
 # length 0.
 UpperCamelCase			  =      [float("""-inf"""       ) for _ in range(n + 1       )]
 UpperCamelCase			  =      0

 for i in range(1							,					n + 1       ):
  UpperCamelCase			  =      max_rev[i]
  for j in range(1							,					i + 1       ):
   UpperCamelCase			  =      max(UpperCamelCase_							,					prices[j - 1] + max_rev[i - j]       )

  UpperCamelCase			  =      max_revenue_i

 return max_rev[n]





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	Union[str, Any]:







 '''simple docstring'''
 if n < 0:
  UpperCamelCase			  =      f"""n must be greater than or equal to 0. Got n = {n}"""
  raise ValueError(UpperCamelCase_       )

 if n > len(UpperCamelCase_       ):
  UpperCamelCase			  =      (
      """Each integral piece of rod must have a corresponding price. """
      f"""Got n = {n} but length of prices = {len(UpperCamelCase_       )}"""
  )
  raise ValueError(UpperCamelCase_       )





def 			lowercase(	)		->	str:







 '''simple docstring'''
 UpperCamelCase			  =      [6, 10, 12, 15, 20, 23]
 UpperCamelCase			  =      len(UpperCamelCase_       )

 # the best revenue comes from cutting the rod into 6 pieces, each
 # of length 1 resulting in a revenue of 6 * 6 = 36.
 UpperCamelCase			  =      36

 UpperCamelCase			  =      top_down_cut_rod(UpperCamelCase_							,					UpperCamelCase_       )
 UpperCamelCase			  =      bottom_up_cut_rod(UpperCamelCase_							,					UpperCamelCase_       )
 UpperCamelCase			  =      naive_cut_rod_recursive(UpperCamelCase_							,					UpperCamelCase_       )

 assert expected_max_revenue == max_rev_top_down
 assert max_rev_top_down == max_rev_bottom_up
 assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
     main()
